1 week ago - have up to 8 NVIDIA L40S Tensor Core GPUs. Amazon EC2 G5g Instances · have Arm64-based AWS Graviton2 processors · . DLAMI instances provide tooling to monitor and optimize your GPU processes. For more information about monitoring your GPU processes, see GPU Monitoring and Optimization.

2 days ago - For Nearmap, the impact of upgrading ... Models computed from multi-angle aerial photography across massive coverage areas. We use around 870 thousand GPU cores per day....

2 days ago - General purpose instances provide a balance of compute, memory and networking resources, and can be used for many workloads.

Within the accelerated computing instances, two families consist of GPU-based instances, the G and P families. The P family was the first of the accelerated computing instances and was designed for general-purpose GPU compute tasks.

March 13, 2025 - With up to 8 NVIDIA H100 GPUs per instance and 400 Gbps networking with Elastic Fabric Adapter (EFA), P5 instances represent AWS's most powerful GPU offering for compute-intensive applications.

Accelerated computing instances use hardware accelerators, or co-processors, to perform functions, such as floating point number calculations, graphics processing, or data pattern matching, more efficiently than is possible in software running on CPUs.

2 days ago - Amazon EC2 G5 instances are the latest generation of NVIDIA GPU-based instances that can be used for a wide range of graphics intensive and machine learning use cases.

AWS Pricing Calculator lets you explore AWS services, and create an estimate for the cost of your use cases on AWS.

April 3, 2025 - Explore the differences between AWS EC2 GPU instance pricing models—On-Demand, Spot, Reserved, and Capacity Blocks—to optimize performance and cost for your AI/ML workloads

April 10, 2025 - These instances, powered by NVIDIA Tensor Core GPUs and other cutting-edge hardware, are designed to handle the most demanding workloads, from machine learning inference to training large-scale machine learning models.

August 12, 2025 - Today, AWS announces new Amazon Elastic Compute Cloud (Amazon EC2) P5 instance size with one NVIDIA H100 GPU that allows businesses to right-size their machine learning (ML) and high-performance computing (HPC) resources with cost-effectiveness.

2 days ago - The P4d instances are built on the AWS Nitro System, which is a rich collection of building blocks that offloads many of the traditional virtualization functions to dedicated hardware and software to deliver high performance, high availability, and high security while also reducing virtualization ...

August 28, 2024 - Main problem with choosing an instance is checking whether GPU’s driver’s version is compatible with AMI (Amazon Machine Image) — OS and software image that is built upon the instance you choose — as well as the CUDA toolkit version. CUDA is nvidia’s official toolkit for utilizing GPU from nvidia graphical cards. To choose and launch and instance go to “launch instance” on aws’s ec2 dashboard.

This table is generated by transform_gpus.py in GitHub, with data from the Instances codebase.

June 13, 2025 - If your job is bottlenecked by GPU throughput or memory bandwidth, the P family is likely where you’ll land. The EC2 G family is AWS’s line of GPU instances designed for graphics rendering, media streaming, and lightweight machine learning ...

2 weeks ago - Learn which EC2 instance types are available in which AWS Regions.

November 17, 2025 - Scale AI training, fine-tuning, and inference on NVIDIA B200, H100, A100, or GH200 GPU instances. Deploy in minutes. Pay-as-you-go pricing.

October 1, 2025 - When you use GPU-enabled instance types with Amazon ECS Managed Instances, the NVIDIA drivers and CUDA toolkit are pre-installed on the instance, making it easier to run GPU-accelerated workloads.